Release v0.21.0 (Changelog)

SQLAlchemy integration with the marshmallow (de)serialization library.

Declare your models

import sqlalchemy as sa
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import scoped_session, sessionmaker, relationship, backref

engine = sa.create_engine("sqlite:///:memory:")
session = scoped_session(sessionmaker(bind=engine))
Base = declarative_base()

class Author(Base):
    __tablename__ = "authors"
    id = sa.Column(sa.Integer, primary_key=True)
    name = sa.Column(sa.String)

    def __repr__(self):
        return "<Author(name={!r})>".format(self=self)

class Book(Base):
    __tablename__ = "books"
    id = sa.Column(sa.Integer, primary_key=True)
    title = sa.Column(sa.String)
    author_id = sa.Column(sa.Integer, sa.ForeignKey(""))
    author = relationship("Author", backref=backref("books"))


Generate marshmallow schemas

from marshmallow_sqlalchemy import ModelSchema

class AuthorSchema(ModelSchema):
    class Meta:
        model = Author

class BookSchema(ModelSchema):
    class Meta:
        model = Book
        # optionally attach a Session
        # to use for deserialization
        sqla_session = session

author_schema = AuthorSchema()

Make sure to declare Models before instantiating Schemas. Otherwise sqlalchemy.orm.configure_mappers() will run too soon and fail.

(De)serialize your data

author = Author(name="Chuck Paluhniuk")
author_schema = AuthorSchema()
book = Book(title="Fight Club", author=author)

dump_data = author_schema.dump(author)
# {'books': [123], 'id': 321, 'name': 'Chuck Paluhniuk'}

load_data = author_schema.load(dump_data, session=session)
# <Author(name='Chuck Paluhniuk')>

Get it now

pip install -U marshmallow-sqlalchemy

Requires Python >= 3.6, marshmallow >= 2.15.2, and SQLAlchemy >= 1.2.0.